Presentation 2013-07-19
Time Zone Analysis on IIJ Network Traffic for Malicious Botnet Activities
Khamphao SISAAT, Hiroaki KIKUCHI, Surin KITTITORNKUN, Chaxiong YUKONHIATOU, Masato TERADA, Hiroshi ISHII,
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Abstract(in English) Many of recent cyber-attacks are being lunched by botnets for the purpose of carrying out large scale cyber-attacks such as DDoS, spam email, network scanning, and so on. In many cases, these botnets consist of a lot of bots or compromised PCs, which have been infected by specific malware. These bots try to propagate themselves into other victim via the multiple C&C servers in the Internet, which are controlled by a remote botmaster. This makes it more difficult to identify botnet attacks and harder to trace the source country/IP address of the botmaster. To identify the C&C servers during malware/bot downloading phase, time zone correlation can be used as a tool to identify the time zone of the C&C servers. In this paper, we do a time zone correlation analysis with the malware download up to 100 honeypots in the IIJ MITF (Internet Ini-tiative Japan - Malware Investigation Task Force) Dataset 2012 comprising over 30 million data records and almost 5 hundreds unique malware names. Baesd on GeoIP service, a time zone correlation model has been proposed to determine the correlation coefficient between malware dwnloads from Japan and other countries. We found a strong correlation between ac-tive bot downloads and time zone of the C&C servers. As a result, our model confirmts that malware/bot downloads are synchronized with time zone (country) of the corresponding C&C servers.
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Keyword(in English) Malware / Botnet / honeypot / IIJ Dataset / CCC Dataset / Correlation Analysis
Paper # ISEC2013-47,SITE2013-42,ICSS2013-52,EMM2013-49
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Conference Information
Committee SITE
Conference Date 2013/7/11(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Time Zone Analysis on IIJ Network Traffic for Malicious Botnet Activities
Sub Title (in English)
Keyword(1) Malware
Keyword(2) Botnet
Keyword(3) honeypot
Keyword(4) IIJ Dataset
Keyword(5) CCC Dataset
Keyword(6) Correlation Analysis
1st Author's Name Khamphao SISAAT
1st Author's Affiliation The authors are with the Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Thailand.()
2nd Author's Name Hiroaki KIKUCHI
2nd Author's Affiliation The author is with the School of Interdisciplinary Mathemat-ical Sciences, Meiji University, Japan.
3rd Author's Name Surin KITTITORNKUN
3rd Author's Affiliation The authors are with the Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Thailand.
4th Author's Name Chaxiong YUKONHIATOU
4th Author's Affiliation The authors are with the Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Thailand.
5th Author's Name Masato TERADA
5th Author's Affiliation The authors is with the Hitachi, Ltd., Japan.
6th Author's Name Hiroshi ISHII
6th Author's Affiliation The author is with the School of Information and Telecommunication Engineering, Tokai University, Japan.
Date 2013-07-19
Paper # ISEC2013-47,SITE2013-42,ICSS2013-52,EMM2013-49
Volume (vol) vol.113
Number (no) 136
Page pp.pp.-
#Pages 8
Date of Issue